Construction scheme comparison and error correction system and method thereof

By combining artificial and intelligent construction solutions to compare error correction systems, quickly match and compare construction solutions, the traditional review time and accuracy are solved, and more efficient and more accurate review results are achieved.

CN119671071AInactive Publication Date: 2025-03-21SHANGHAI CONSTRUCTION FOURTH CONSTRUCTION GROUP CO LTD
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Patent Information

Application Number
CN202510191635.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-21
Publication Date
2025-03-21
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Comparative error correction of traditional construction plans takes time and is not very accurate, especially in the review of special working conditions and complex construction processes, errors are prone to occur.

Method used

A construction plan comparison and error correction system is proposed, combining artificial and intelligent comparison and error correction, and the intelligent system quickly matches construction plans with historical similarity through the intelligent system, conducts comparison and analysis, marks differences and gives expected values ​​to ensure the comprehensiveness and depth of the review.

Benefits of technology

It improves the accuracy and intuitiveness of audits, saves a lot of labor and time costs, and reduces the dependence on manual audits, which is particularly important especially when processing large-scale documents.

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Abstract

The invention relates to a construction scheme comparison and error correction system and method, the system comprises a knowledge graph creation module, a similar scheme extraction module, a difference comparison module, an expected value filling module and a manual auditing module, the knowledge graph creation module completes intelligent information identification and standardization processing of unstructured documents; the similar scheme extraction module is used for quickly searching and matching entities of the construction schemes; the difference comparison module uses a text similarity algorithm to compare relation and event information extracted by different schemes, calculates difference weights, classifies comparison conditions, and sets different colors for the difference according to levels to display scheme texts; the expected value filling module predicts expected values of difference points marked in the scheme by using a regression model or a classification model, and performs filling; and the manual auditing module is used for auditing the difference labeling area of each scheme and the expected value of filling, feeding back the result to the expected value filling module, and optimizing the filling algorithm.
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